---
title: "WWW 2022 — accepted papers — Elamur Research"
description: "WWW 2022 — accepted papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/acm-web-conference-www/2022/"
---
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# WWW 2022 — accepted papers

WWW 2022 is the 2022 edition of the ACM Web Conference (WWW). OpenAlex lists 367 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**367** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/acm-web-conference-www/2022/#works) · [**90** citations of these works](https://md.research.elamur.ai/free/en/venues/acm-web-conference-www/2022/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning ↗](https://doi.org/10.1145/3485447.3512104)**Zihan Lin, Changxin Tian, Yupeng Hou et al.*572 citations*
2. **[ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification ↗](https://doi.org/10.1145/3485447.3512217)**Xinjie Lin, Gang Xiong, Gaopeng Gou et al.*566 citations*
3. **[Intent Contrastive Learning for Sequential Recommendation ↗](https://doi.org/10.1145/3485447.3512090)**Yongjun Chen, Zhiwei Liu, Jia Li et al.*410 citations*
4. **[Filter-enhanced MLP is All You Need for Sequential Recommendation ↗](https://doi.org/10.1145/3485447.3512111)**Kun Zhou, Hui Yu, Wayne Xin Zhao et al.*401 citations*
5. **[Cross-modal Ambiguity Learning for Multimodal Fake News Detection ↗](https://doi.org/10.1145/3485447.3511968)**Yixuan Chen, Dongsheng Li, Peng Zhang et al.*370 citations*
6. **[KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction ↗](https://doi.org/10.1145/3485447.3511998)**Xiang Chen, Ningyu Zhang, Xin Yu Xie et al.*364 citations*
7. **[SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation ↗](https://doi.org/10.1145/3485447.3512156)**Jun Xia, Lirong Wu, Jintao Chen et al.*289 citations*
8. **[Towards Unsupervised Deep Graph Structure Learning ↗](https://doi.org/10.1145/3485447.3512186)**Yixin Liu, Yu Zheng, Daokun Zhang et al.*208 citations*
9. **[Sequential Recommendation via Stochastic Self-Attention ↗](https://doi.org/10.1145/3485447.3512077)**Ziwei Fan, Zhiwei Liu, Yu Wang et al.*196 citations*
10. **[Federated Unlearning via Class-Discriminative Pruning ↗](https://doi.org/10.1145/3485447.3512222)**Junxiao Wang, Song Guo, Xin Nan Xie et al.*152 citations*

## All accepted papers (367)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning ↗](https://doi.org/10.1145/3485447.3512104)**Zihan Lin, Changxin Tian, Yupeng Hou et al.*572 citations*
2. **[ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification ↗](https://doi.org/10.1145/3485447.3512217)**Xinjie Lin, Gang Xiong, Gaopeng Gou et al.*566 citations*
3. **[Intent Contrastive Learning for Sequential Recommendation ↗](https://doi.org/10.1145/3485447.3512090)**Yongjun Chen, Zhiwei Liu, Jia Li et al.*410 citations*
4. **[Filter-enhanced MLP is All You Need for Sequential Recommendation ↗](https://doi.org/10.1145/3485447.3512111)**Kun Zhou, Hui Yu, Wayne Xin Zhao et al.*401 citations*
5. **[Cross-modal Ambiguity Learning for Multimodal Fake News Detection ↗](https://doi.org/10.1145/3485447.3511968)**Yixuan Chen, Dongsheng Li, Peng Zhang et al.*370 citations*
6. **[KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction ↗](https://doi.org/10.1145/3485447.3511998)**Xiang Chen, Ningyu Zhang, Xin Yu Xie et al.*364 citations*
7. **[SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation ↗](https://doi.org/10.1145/3485447.3512156)**Jun Xia, Lirong Wu, Jintao Chen et al.*289 citations*
8. **[Towards Unsupervised Deep Graph Structure Learning ↗](https://doi.org/10.1145/3485447.3512186)**Yixin Liu, Yu Zheng, Daokun Zhang et al.*208 citations*
9. **[Sequential Recommendation via Stochastic Self-Attention ↗](https://doi.org/10.1145/3485447.3512077)**Ziwei Fan, Zhiwei Liu, Yu Wang et al.*196 citations*
10. **[Federated Unlearning via Class-Discriminative Pruning ↗](https://doi.org/10.1145/3485447.3512222)**Junxiao Wang, Song Guo, Xin Nan Xie et al.*152 citations*
11. **[TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection ↗](https://doi.org/10.1145/3485447.3512226)**Sijia Li, Gaopeng Gou, Chang Liu et al.*146 citations*
12. **[H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections ↗](https://doi.org/10.1145/3485447.3512195)**Fengzhao Shi, Yanan Cao, Yanmin Shang et al.*140 citations*
13. **[Knowledge Graph Reasoning with Relational Digraph ↗](https://doi.org/10.1145/3485447.3512008)**Yongqi Zhang, Quanming Yao*130 citations*
14. **[UniParser: A Unified Log Parser for Heterogeneous Log Data ↗](https://doi.org/10.1145/3485447.3511993)**Yudong Liu, Xu Zhang, Shilin He et al.*125 citations*
15. **[Conditional Generation Net for Medication Recommendation ↗](https://doi.org/10.1145/3485447.3511936)**Rui Mei Wu, Zhaopeng Qiu, Jiacheng Jiang et al.*123 citations*
16. **[EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks ↗](https://doi.org/10.1145/3485447.3512173)**Yushun Dong, Ninghao Liu, Brian A. Jalaian et al.*123 citations*
17. **[Disentangling Long and Short-Term Interests for Recommendation ↗](https://doi.org/10.1145/3485447.3512098)**Yu Zheng, Chen Gao, Jianxin Chang et al.*121 citations*
18. **[Rumor Detection on Social Media with Graph Adversarial Contrastive Learning ↗](https://doi.org/10.1145/3485447.3511999)**Tiening Sun, Qian Zhong, Sujun Dong et al.*117 citations*
19. **[Evidence-aware Fake News Detection with Graph Neural Networks ↗](https://doi.org/10.1145/3485447.3512122)**Weizhi Xu, Junfei Wu, Qiang Liu et al.*115 citations*
20. **[Contrastive Learning for Knowledge Tracing ↗](https://doi.org/10.1145/3485447.3512105)**Wonsung Lee, Jaeyoon Chun, Youngmin Lee et al.*113 citations*
21. **[An Empirical Investigation of Personalization Factors on TikTok ↗](https://doi.org/10.1145/3485447.3512102)**Maximilian Boeker, Aleksandra Urman*112 citations*
22. **[AUC-oriented Graph Neural Network for Fraud Detection ↗](https://doi.org/10.1145/3485447.3512178)**Mengda Huang, Yang Liu, Xiang Ao et al.*106 citations*
23. **[Recommendation Unlearning ↗](https://doi.org/10.1145/3485447.3511997)**Chong Chen, Fei Sun, Min Zhang et al.*106 citations*
24. **[Causal Representation Learning for Out-of-Distribution Recommendation ↗](https://doi.org/10.1145/3485447.3512251)**Wenjie Wang, Xinyu Lin, Fuli Feng et al.*105 citations*
25. **[Domain Adaptive Fake News Detection via Reinforcement Learning ↗](https://doi.org/10.1145/3485447.3512258)**Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu et al.*101 citations*

[See all 367 papers in WWW 2022 — accepted papers →](https://md.research.elamur.ai/free/en/venues/acm-web-conference-www/2022/papers/)

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[Extracting Cultural Commonsense Knowledge at Scale](https://md.research.elamur.ai/free/en/papers/nguyen-2022-extracting-cultural-commonsense-knowledge-scale/) [ACM Web Conference (WWW)](https://md.research.elamur.ai/free/en/venues/acm-web-conference-www/)**Tuan-Phong Nguyen, Simon Razniewski, Aparna Varde, et al.*2022 · 90 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Gerhard Weikum**1 work here · 90 citations](https://md.research.elamur.ai/free/en/authors/gerhard-weikum/) · [🧑‍🔬**Simon Razniewski**1 work here · 90 citations](https://md.research.elamur.ai/free/en/authors/simon-razniewski/) · [🧑‍🔬**Tuan-Phong Nguyen**1 work here · 90 citations](https://md.research.elamur.ai/free/en/authors/tuan-phong-nguyen/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Montclair State University** Montclair · United States 1 work here](https://md.research.elamur.ai/free/en/universities/montclair-state-university/) · [🔬**Max Planck Institute for Informatics** Saarbrücken · Germany 1 work here](https://md.research.elamur.ai/free/en/labs/max-planck-institute-for-informatics/)

works and citations from OpenAlex and our library.

- [next → WWW 2023](https://md.research.elamur.ai/free/en/venues/acm-web-conference-www/2023/)
- [↑ back to WWW](https://md.research.elamur.ai/free/en/venues/acm-web-conference-www/)